Senior AI Builder at Hello Heart in Remote

Summary: Hello Heart is a fast-growing, mission-driven, AI-native company focused on transforming heart health management. The Senior AI Builder will work with leaders across the company to identify and prototype AI solutions that improve efficiency and outcomes in workflows. Responsibilities: - Shipped 5–10 internal AI workflows that are in daily use across Hello Heart, not prototypes, not demos, real tools people rely on - Built agents, automations, and LLM-powered applications that measurably reduce cycle time, error rates, or manual effort in targeted workflows - Created reusable patterns and components that accelerate every subsequent build - Published an internal library of playbooks, templates, and working examples that other teams can learn from and extend - Discover: Partner with functional leaders to understand their highest-friction workflows. Identify where AI can make a material difference, not where it's theoretically possible, but where the ROI is obvious - Build: Design and ship secure AI-powered workflows end-to-end. This means prompting, agent design, API integrations, workflow orchestration, and whatever else it takes to get a working solution into people's hands - Iterate: Measure usage and impact. Kill what's not working. Double down on what is. Move from prototype to production-grade within weeks, not quarters - Scale: Document what works so it can be replicated. Build patterns, not one-offs. Train teams to use and extend what you've built Required Qualifications: - 5+ years of experience in applied AI, product engineering, workflow automation, or a technical ops/product ops role where you actually built things - Experience working with GTM teams across sales, marketing, CS - Experience working in highly regulated environments - Experience with change management or driving adoption of new internal tools - Hands-on proficiency with LLMs, agent frameworks, prompt engineering, and workflow automation platforms, you can build a working AI application end-to-end without waiting for an engineering team - Strong intuition for translating messy business problems into scoped, buildable solutions - Comfort working directly with senior leaders, you can run a discovery conversation with a VP and walk away with a clear use case - Python scripting, API integration, or light engineering skills beyond no-code platforms - Bias toward shipping over planning. You'd rather show a working prototype than a requirements doc - A portfolio of AI workflows, agents, or internal tools you've built and can walk us through (we'll ask for this) Preferred Qualifications: - Healthcare, health-tech, or regulated industry experience - Familiarity with data platforms, BI tools, or analytics workflows Required Skills: Applied AI, Product engineering, Workflow automation, Technical operations, Product operations, GTM teams, Experience in regulated environments, Change management, LLMs, Agent frameworks, Prompt engineering, API integration, Python scripting, Intuition for translating business problems, Comfort working with senior leaders